Generating Teams to Equally Distribute Papers for Evaluating

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SUMMARY

This discussion focuses on generating teams to evaluate a set number of papers, specifically between 40 and 56, using 9 evaluators labeled A through I. The goal is to form teams of 3, ensuring that each evaluator assesses an equal number of papers, with a maximum difference of one paper per evaluator. The proposed method utilizes determinants to create unique triplet combinations, with the condition that the total number of papers (N) should ideally be a multiple of 6 for optimal load distribution. The conversation also touches on the practical benefits of this approach, such as improved scheduling and reduced health risks.

PREREQUISITES
  • Understanding of combinatorial mathematics, specifically combinations and determinants.
  • Familiarity with team formation strategies in project management.
  • Knowledge of load balancing techniques in evaluation processes.
  • Basic principles of scheduling and resource allocation.
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  • Research combinatorial optimization techniques for team formation.
  • Explore algorithms for generating unique combinations of groups.
  • Learn about load balancing in project management frameworks.
  • Investigate scheduling algorithms that minimize health risks in group settings.
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This discussion is beneficial for project managers, team leaders, evaluators, and anyone involved in organizing peer reviews or assessments, particularly in academic or research settings.

kuruman
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I have ##N## papers to be evaluated, ##40 \le N \le 56##. I have 9 people named A - I that need to be put in teams of 3 to evaluate the papers individually, i.e. 3 evaluations per paper. There are ##\begin{pmatrix}9 \\3\end{pmatrix} =84## triplets that can be formed. Thus there are more teams than papers. The constraint in forming the teams is that any member will evaluate at most one more paper than any other member. My approach so far has been to use determinants to form triplets. For example, ##\begin{vmatrix} A & B & C \\ D & E & F \\ G & H &I \end{vmatrix} ## gives 6 triplets with each letter appearing twice. Thus, the equal distribution of load can be achieved if ##N## is a multiple of 6. If it isn't, the remainder can be assigned by hand. There should be 14 such determinants. My question is how do I generate them uniquely?
 
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Do the teams need to be different for every paper? If not then the trivial approach is to make three teams, ABC, DEF, GHI, assign 1/3 to each team. Then you get exactly equal load for every multiple of 3, and differences of 1 for every other number, something you cannot avoid in these cases.

As additional benefits it makes scheduling meetings easier and limits the spread of infectious diseases better.
 

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